This is just nitpicking phrases at this point, a popular past time for us nerds, so I get it but it misses the point. "Sophisticated" is enough of a suitcase te

This is just nitpicking phrases at this point, a popular past time for us nerds, so I get it but it misses the point. "Sophisticated" is enough of a suitcase term that it's effectively worthless. More importantly it's worth understanding that ML allows us to do things we couldn't do before, because it's cheaper and scales better than previous optimization methods, when you have the data. So yes, the data infrastructure is the critical part, however the ML pipelines and Data Science work is what gives the massive multiplier at a cost/scale you can't get with traditional optimization methods.